feat: upload LoraC3lier_JigokuJPV2 lora model
Browse files
LoraC3lier_JigokuJPV2_config/config_file.toml
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[model_arguments]
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v2 = false
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v_parameterization = false
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pretrained_model_name_or_path = "/content/pretrained_model/chilloutmix_NiPrunedFp32Fix.safetensors"
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vae = "/content/vae/kl-f8-anime.ckpt"
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[additional_network_arguments]
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no_metadata = false
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unet_lr = 0.0001
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text_encoder_lr = 5e-5
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network_module = "networks.lora"
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network_dim = 16
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network_alpha = 8
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network_args = [ "conv_dim=8", "conv_alpha=1",]
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network_train_unet_only = false
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network_train_text_encoder_only = false
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[optimizer_arguments]
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min_snr_gamma = 1.0
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optimizer_type = "AdamW8bit"
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learning_rate = 0.0001
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max_grad_norm = 1.0
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optimizer_args = []
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lr_scheduler = "constant_with_warmup"
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lr_warmup_steps = 135
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[dataset_arguments]
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cache_latents = true
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cache_latents_to_disk = true
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debug_dataset = false
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vae_batch_size = 4
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[training_arguments]
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output_dir = "/content/LoRA/output"
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output_name = "LoraC3lier_JigokuJPV2"
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save_precision = "fp16"
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save_every_n_epochs = 1
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train_batch_size = 2
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max_token_length = 225
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mem_eff_attn = false
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xformers = true
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max_train_epochs = 8
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max_data_loader_n_workers = 8
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persistent_data_loader_workers = true
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seed = 46
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gradient_accumulation_steps = 1
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mixed_precision = "fp16"
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clip_skip = 1
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lowram = true
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[logging_arguments]
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log_with = "wandb"
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log_tracker_name = "LoraC3lier_JigokuJPV2"
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logging_dir = "/content/LoRA/logs"
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[sample_prompt_arguments]
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sample_every_n_epochs = 1
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sample_sampler = "k_dpm_2_a"
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[dreambooth_arguments]
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prior_loss_weight = 1.0
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[saving_arguments]
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save_model_as = "safetensors"
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LoraC3lier_JigokuJPV2_config/dataset_config.toml
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[[datasets]]
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resolution = 512
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min_bucket_reso = 256
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max_bucket_reso = 1024
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flip_aug = false
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[[datasets.subsets]]
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image_dir = "/content/LoRA/train_data"
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num_repeats = 15
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[general]
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enable_bucket = true
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caption_extension = ".caption"
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shuffle_caption = true
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keep_tokens = 1
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LoraC3lier_JigokuJPV2_config/sample_prompt.toml
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[prompt]
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negative_prompt = "(worst quality, low quality:1.4)"
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width = 512
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height = 768
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scale = 7
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sample_steps = 28
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[[prompt.subset]]
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prompt = "masterpiece, best quality, 1girl, a little girl holding a frisbee in her hands"
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[[prompt.subset]]
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prompt = "masterpiece, best quality, 1girl, a girl in a bunny costume is posing for a picture"
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